Tampering Resistant Dual Watermarking Method for Copyright Protection of Still Images. - Sachin Mehta; Vijayaraghavan Varadharajan; Rajarathnam Nallusamy (ADCONS, 2011)

On-the-fly Watermarking of Videos for Real-time Applications. - Sachin Mehta; Vijayaraghavan Varadharajan; Rajarathnam Nallusamy (ICME Workshops, 2012)

Tampering resistant self recoverable watermarking method using error correction codes. - Sachin Mehta; Vijayaraghavan Varadharajan; Rajarathnam Nallusamy (Int. J. Inf. Comput. Secur., 2012)

A Study of DWT and SVD Based Watermarking Algorithms for Patient Privacy in Medical Images. - Sachin Mehta; Rajarathnam Nallusamy; Ranjeet Vinayak Marawar; Balakrishnan Prabhakaran 001 (ICHI, 2013)

3D content fingerprinting. - Sachin Mehta; Balakrishnan Prabhakaran 001 (ICIP, 2014)

Region graph based method for multi-object detection and tracking using depth cameras. - Sachin Mehta; Balakrishnan Prabhakaran 001 (WACV, 2016)

mPDF: Framework for Watermarking PDF Files using Image Watermarking Algorithms. - Sachin Mehta; Balakrishnan Prabhakaran 001; Rajarathnam Nallusamy; Derrick Newton (CoRR, 2016)

Scene-based fingerprinting method for traitor tracing. - Sachin Mehta; Rajarathnam Nallusamy; Balakrishnan Prabhakaran 001 (Multim. Syst., 2016)

Identifying Most Walkable Direction for Navigation in an Outdoor Environment. - Sachin Mehta; Hannaneh Hajishirzi; Linda G. Shapiro (CoRR, 2017)

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. - Sachin Mehta; Mohammad Rastegari; Anat Caspi; Linda G. Shapiro; Hannaneh Hajishirzi (ECCV (10), 2018)

Pyramidal Recurrent Unit for Language Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (EMNLP, 2018)

Automated Diagnosis of Breast Cancer and Pre-invasive Lesions on Digital Whole Slide Images. - Ezgi Mercan; Sachin Mehta; Jamen Bartlett; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro (ICPRAM, 2018)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. - Sachin Mehta; Ezgi Mercan; Jamen Bartlett; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro (MICCAI (2), 2018)

3D-ESPNet with Pyramidal Refinement for Volumetric Brain Tumor Image Segmentation. - Nicholas Nuechterlein; Sachin Mehta (BrainLes@MICCAI (2), 2018)

DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. - Sachin Mehta; Amar P. Azad; Saneem A. Chemmengath; Vikas Raykar; Shivkumar Kalyanaraman (WACV, 2018)

Learning to Segment Breast Biopsy Whole Slide Images. - Sachin Mehta; Ezgi Mercan; Jamen Bartlett; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro (WACV, 2018)

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. - Sachin Mehta; Mohammad Rastegari; Linda G. Shapiro; Hannaneh Hajishirzi (CVPR, 2019)

A Facial Affect Analysis System for Autism Spectrum Disorder. - Beibin Li; Sachin Mehta; Deepali Aneja; Claire E. Foster; Pamela Ventola; Frederick Shic; Linda G. Shapiro (ICIP, 2019)

DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (CoRR, 2019)

MedICaT: A Dataset of Medical Images, Captions, and Textual References. - Sanjay Subramanian; Lucy Lu Wang; Ben Bogin; Sachin Mehta; Madeleine van Zuylen; Sravanthi Parasa; Sameer Singh 001; Matt Gardner 001; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (ICLR, 2020)

Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. - Beibin Li; Ezgi Mercan; Sachin Mehta; Stevan Knezevich; Corey W. Arnold; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro (ICPR, 2020)

Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. - Nicholas Nuechterlein; Beibin Li; Mehmet Saygin Seyfioglu; Sachin Mehta; Patrick J. Cimino; Linda G. Shapiro (ICPR, 2020)

HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. - Sachin Mehta; Ximing Lu; Donald L. Weaver; Joann G. Elmore; Hannaneh Hajishirzi; Linda G. Shapiro (CoRR, 2020)

DeLighT: Very Deep and Light-weight Transformer. - Sachin Mehta; Marjan Ghazvininejad; Srinivasan Iyer 001; Luke Zettlemoyer; Hannaneh Hajishirzi (CoRR, 2020)

Collecting Sidewalk Network Data at Scale for Accessible Pedestrian Travel. - Yuxiang Zhang 010; Sachin Mehta; Anat Caspi (ASSETS, 2021)

Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. - Ximing Lu; Sachin Mehta; Tad T. Brunyé; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro (BHI, 2021)

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. - Christopher Clark; Jordi Salvador; Dustin Schwenk; Derrick Bonafilia; Mark Yatskar; Eric Kolve; Alvaro Herrasti; Jonghyun Choi; Sachin Mehta; Sam Skjonsberg; Carissa Schoenick; Aaron Sarnat; et al. (EMNLP (1), 2021)

DeLighT: Deep and Light-weight Transformer. - Sachin Mehta; Marjan Ghazvininejad; Srinivasan Iyer 001; Luke Zettlemoyer; Hannaneh Hajishirzi (ICLR, 2021)

EVRNet: Efficient Video Restoration on Edge Devices. - Sachin Mehta; Amit Kumar 013; Fitsum A. Reda; Varun Nasery; Vikram Mulukutla; Rakesh Ranjan; Vikas Chandra (ACM Multimedia, 2021)

Scale-Aware Transformers for Diagnosing Melanocytic Lesions. - Wenjun Wu; Sachin Mehta; Shima Nofallah; Stevan Knezevich; Caitlin J. May; Oliver Chang; Joann G. Elmore; Linda G. Shapiro (IEEE Access, 2021)

Machine learning techniques for mitoses classification. - Shima Nofallah; Sachin Mehta; Ezgi Mercan; Stevan Knezevich; Caitlin J. May; Donald L. Weaver; Daniela M. Witten; Joann G. Elmore; Linda G. Shapiro (Comput. Medical Imaging Graph., 2021)

Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832]. - Shima Nofallah; Sachin Mehta; Ezgi Mercan; Stevan Knezevich; Caitlin J. May; Donald L. Weaver; Daniela M. Witten; Joann G. Elmore; Linda G. Shapiro (Comput. Medical Imaging Graph., 2021)

Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection. - Yuxiang Zhang 010; Sachin Mehta; Anat Caspi (CoRR, 2021)

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. - Chien-Yu Lin; Anish Prabhu; Thomas Merth; Sachin Mehta; Anurag Ranjan; Maxwell Horton; Mohammad Rastegari (ECCV (11), 2022)

Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. - Beibin Li; James C. Snider; Quan Wang 003; Sachin Mehta; Claire E. Foster; Erin Barney; Linda G. Shapiro; Pamela Ventola; Frederick Shic (ETRA, 2022)

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. - Sachin Mehta; Mohammad Rastegari (ICLR, 2022)

CVNets: High Performance Library for Computer Vision. - Sachin Mehta; Farzad Abdolhosseini; Mohammad Rastegari (ACM Multimedia, 2022)

RangeAugment: Efficient Online Augmentation with Range Learning. - Sachin Mehta; Saeid Naderiparizi; Fartash Faghri; Maxwell Horton; Lailin Chen; Ali Farhadi; Oncel Tuzel; Mohammad Rastegari (CoRR, 2022)

Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net. - Shima Nofallah; Mojgan Mokhtari; Wenjun Wu; Sachin Mehta; Stevan Knezevich; Caitlin J. May; Oliver Chang; Annie C. Lee; Joann G. Elmore; Linda G. Shapiro (J. Digit. Imaging, 2022)

End-to-End diagnosis of breast biopsy images with transformers. - Sachin Mehta; Ximing Lu; Wenjun Wu; Donald L. Weaver; Hannaneh Hajishirzi; Joann G. Elmore; Linda G. Shapiro (Medical Image Anal., 2022)

DiCENet: Dimension-Wise Convolutions for Efficient Networks. - Sachin Mehta; Hannaneh Hajishirzi; Mohammad Rastegari (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. - Mohammadreza Salehi; Sachin Mehta; Aditya Kusupati; Ali Farhadi; Hannaneh Hajishirzi (EMNLP (Findings), 2023)

Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. - Fartash Faghri; Hadi Pouransari; Sachin Mehta; Mehrdad Farajtabar; Ali Farhadi; Mohammad Rastegari; Oncel Tuzel (ICCV, 2023)

OASIS: Automated Assessment of Urban Pedestrian Paths at Scale. - Yuxiang Zhang 010; Suresh Devalapalli; Sachin Mehta; Anat Caspi (CoRR, 2023)

APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks. - Yuxiang Zhang 010; Nicholas Bolten; Sachin Mehta; Anat Caspi (CoRR, 2023)

On the Efficacy of Multi-scale Data Samplers for Vision Applications. - Elvis Nunez; Thomas Merth; Anish Prabhu; Mehrdad Farajtabar; Mohammad Rastegari; Sachin Mehta; Maxwell Horton (CoRR, 2023)

Diffusion Models as Masked Audio-Video Learners. - Elvis Nunez; Yanzi Jin; Mohammad Rastegari; Sachin Mehta; Maxwell Horton (CoRR, 2023)

Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (CoRR, 2023)

Weight subcloning: direct initialization of transformers using larger pretrained ones. - Mohammad Samragh; Mehrdad Farajtabar; Sachin Mehta; Raviteja Vemulapalli; Fartash Faghri; Devang Naik; Oncel Tuzel; Mohammad Rastegari (CoRR, 2023)

Separable Self-attention for Mobile Vision Transformers. - Sachin Mehta; Mohammad Rastegari (Trans. Mach. Learn. Res., 2023)

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. - Haoxiang Wang 003; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Mehrdad Farajtabar; Sachin Mehta; Mohammad Rastegari; Oncel Tuzel; Hadi Pouransari (CVPR Workshops, 2024)

TiC-CLIP: Continual Training of CLIP Models. - Saurabh Garg; Mehrdad Farajtabar; Hadi Pouransari; Raviteja Vemulapalli; Sachin Mehta; Oncel Tuzel; Vaishaal Shankar; Fartash Faghri (ICLR, 2024)

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. - Iman Mirzadeh; Keivan Alizadeh-Vahid; Sachin Mehta; Carlo C. del Mundo; Oncel Tuzel; Golnoosh Samei; Mohammad Rastegari; Mehrdad Farajtabar (ICLR, 2024)

Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (ICML, 2024)

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. - Sachin Mehta; Mohammad Hossein Sekhavat; Qingqing Cao; Maxwell Horton; Yanzi Jin; Chenfan Sun; Iman Mirzadeh; Mahyar Najibi; Dmitry Belenko; Peter Zatloukal; Mohammad Rastegari (CoRR, 2024)

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. - Sachin Mehta; Maxwell Horton; Fartash Faghri; Mohammad Hossein Sekhavat; Mahyar Najibi; Mehrdad Farajtabar; Oncel Tuzel; Mohammad Rastegari (CoRR, 2024)

LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. - Qichen Fu; Minsik Cho; Thomas Merth; Sachin Mehta; Mohammad Rastegari; Mahyar Najibi (CoRR, 2024)

PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery. - Yuxiang Zhang; Bill Howe; Sachin Mehta; Nicholas Bolten; Anat Caspi (CoRR, 2024)

KV Prediction for Improved Time to First Token. - Maxwell Horton; Qingqing Cao; Chenfan Sun; Yanzi Jin; Sachin Mehta; Mohammad Rastegari; Moin Nabi (CoRR, 2024)

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning. - Qingqing Cao; Mahyar Najibi; Sachin Mehta (CoRR, 2024)

Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers. - Yuxin Wen; Qingqing Cao; Qichen Fu; Sachin Mehta; Mahyar Najibi (CoRR, 2024)

Bytes Are All You Need: Transformers Operating Directly On File Bytes. - Maxwell Horton; Sachin Mehta; Ali Farhadi; Mohammad Rastegari (Trans. Mach. Learn. Res., 2024)

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. - Mohammadreza Salehi; Mehrdad Farajtabar; Maxwell Horton; Fartash Faghri; Hadi Pouransari; Raviteja Vemulapalli; Oncel Tuzel; Ali Farhadi; Mohammad Rastegari; Sachin Mehta (Trans. Mach. Learn. Res., 2024)

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. - Jeffrey Li; Mohammadreza Armandpour; Iman Mirzadeh; Sachin Mehta; Vaishaal Shankar; Raviteja Vemulapalli; Samy Bengio; Oncel Tuzel; Mehrdad Farajtabar; Hadi Pouransari; Fartash Faghri (ACL (1), 2025)

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. - Rasoul Shafipour; David Harrison; Maxwell Horton; Jeffrey Marker; Houman Bedayat; Sachin Mehta; Mohammad Rastegari; Mahyar Najibi; Saman Naderiparizi (ICLR, 2025)

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. - Kumari Nishu; Sachin Mehta; Samira Abnar; Mehrdad Farajtabar; Maxwell Horton; Mahyar Najibi; Moin Nabi; Minsik Cho; Devang Naik (CoRR, 2025)